A Dataset Documenting Representations of Machine Vision Technologies in Artworks, Games and Narratives

This dataset captures cultural attitudes towards machine vision technologies as they are expressed in art, games and narratives. The dataset includes records of 500 creative works (including 77 digital games, 191 digital artworks and 236 movies, novels and other narratives) that use or represent machine vision technologies like facial recognition, deepfakes, and augmented reality. The dataset is divided into three main tables, relating to the works, to specific situations in each work involving machine vision technologies, and to the characters that interact with the technologies. Data about each work includes title, author, year and country of publication; types of machine vision technologies featured; topics the work addresses, and sentiments associated with that machine vision usage in the work. In the various works we identified 884 specific situations where machine vision is central. The dataset includes detailed data about each of these situations that describes the actions of human and non-human agents, including machine vision technologies. The dataset is the product of a digital humanities project and can be also viewed as a database at http://machine-vision.no. Data was collected by a team of topic experts who followed an analytical model developed to explore relationships between humans and technologies, inspired by posthumanist and feminist new materialist theories. The project team identified relevant works by searching databases, visiting exhibitions and conferences, reading scholarship, and consulting other experts. The inclusion criteria were creative works( art, games, narratives (movies, novels, etc)) where one of the following machine vision technologies was used in or represented by the work: 3D scans, AI, Augmented reality, Biometrics, Body scans, Camera, Cameraphone, Deepfake, Drones, Emotion recognition, Facial recognition, Filtering, Holograms, Image generation, Interactive panoramas Machine learning, MicroscopeOrTelescope Motion tracking, Non-Visible Spectrum Object recognition, Ocular implant, Satellite images, Surveillance cameras, UGV, Virtual reality, and Webcams. The dataset as well as the more detailed database can be viewed, searched, extracted, or otherwise used or reused and is considered particularly useful for humanities and social science scholars interested in the relationship between technology and culture, and by designers, artists, and scientists developing machine vision technologies.本数据集旨在收录艺术、游戏与叙事作品中所表达的关于机器视觉技术的文化态度。 本数据集共收录500部涉及或呈现机器视觉技术的创意作品，其中包括77款数字游戏、191件数字艺术作品，以及236部电影、小说与其他叙事类作品，所涉机器视觉技术涵盖人脸识别（facial recognition）、深度伪造（deepfake）、增强现实（augmented reality）等。 本数据集分为三大核心数据表，分别对应作品本体、作品中涉及机器视觉技术的具体场景，以及与该技术产生交互的角色。 单部作品的关联数据涵盖：作品标题、作者、出版年份与出版国家；所采用或呈现的机器视觉技术类型；作品探讨的核心主题，以及作品中该机器视觉技术应用相关的情感倾向。 经梳理，本次收录的作品中共包含884个以机器视觉技术为核心的具体应用场景，本数据集针对每个此类场景均收录了详细数据，用以描述人类与非人类主体（包括机器视觉技术本身）的行为活动。 本数据集是一项数字人文项目的研究成果，同时可作为数据库通过网址http://machine-vision.no 进行访问。 本数据集由一支主题专家团队完成采集，其研究遵循了一套基于后人文主义与女性主义新物质主义理论所开发的分析模型，用于探索人类与技术之间的关系。 项目团队通过检索学术数据库、参观展览与学术会议、研读专业文献以及咨询领域内其他专家的方式，筛选出符合要求的相关作品。 本次数据集的收录标准为：涉及或呈现以下任意一种机器视觉技术的创意作品（包括艺术、游戏与叙事类作品，如电影、小说等）：3D扫描（3D scans）、人工智能（AI）、增强现实（Augmented reality）、生物识别（Biometrics）、身体扫描（Body scans）、相机（Camera）、拍照手机（Cameraphone）、深度伪造（Deepfake）、无人机（Drones）、情感识别（Emotion recognition）、人脸识别（Facial recognition）、滤镜（Filtering）、全息影像（Holograms）、图像生成（Image generation）、交互式全景（Interactive panoramas）、机器学习（Machine learning）、显微镜/望远镜（MicroscopeOrTelescope）、运动追踪（Motion tracking）、非可见光光谱物体识别（Non-Visible Spectrum Object recognition）、眼部植入物（Ocular implant）、卫星图像（Satellite images）、监控摄像头（Surveillance cameras）、无人地面车辆（UGV）、虚拟现实（Virtual reality）以及网络摄像头（Webcams）。 本数据集及其更详尽的数据库均可被访问、检索、导出，或以其他方式进行使用与二次开发，其对于研究技术与文化关系的人文社科研究者，以及开发机器视觉技术的设计师、艺术家与科研人员均具有极高的参考价值。